shannhk

shannhk / llm-wikid

Public

Karpathy-style LLM knowledge base for Obsidian. Clone, run Claude Code, start building your second brain.

19
0
100% credibility
Found Apr 11, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
AI Summary

LLM Wikid is a setup for AI agents to process raw notes, articles, and clips into a structured, self-maintaining knowledge base viewable in a note-taking app.

How It Works

1
📖 Discover LLM Wikid

You hear about a smart way to build a growing knowledge base using AI to organize your notes and ideas automatically.

2
🏠 Set up your digital notebook

Download the starter folder and open it in a free note-taking app that links your thoughts like a mind map.

3
📥 Drop in your raw ideas

Toss articles, clips, thoughts, and notes into the special inbox folder – it's your messy collection spot.

4
🤖 Ask your AI helper to tidy up

Tell your friendly AI assistant to read the instructions and turn your chaos into neat, connected pages with checks for balance.

5
❓ Ask questions and explore

Pose any question about your stuff, get a clear answer with sources, and watch it get saved back to make the base smarter.

6
🔍 See the magic connections

Open the app's graph view to marvel at how concepts, people, and ideas link together like a personal brain.

🌱 Your knowledge keeps growing

Every time you add or ask, the wiki gets richer and more powerful, compounding your curiosity into a lifelong asset.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 19 to 19 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is llm-wikid?

LLM Wikid is a Karpathy-style knowledge base for Obsidian that turns raw clips, articles, tweets, and papers into structured wiki pages with cross-links, bias checks, and a master index. Clone the repo, open it as an Obsidian vault, and run an LLM agent like Claude Code to ingest sources via simple slash commands such as /wiki-ingest or /wiki-query—every answer gets filed back, building your second brain over time. It ditches RAG for compiled, compounding wikidocs that live in Markdown and sync via Git.

Why is it gaining traction?

It stands out with agent-driven commands that handle URL resolution, media extraction, classification, and quality controls like counter-arguments and confidence tags, all while integrating Obsidian's graph view and optional qmd search. Developers hook into the compound loop where queries expand the base automatically, outperforming ad-hoc RAG for repeated Q&A on ~400K words. The clone-run-start simplicity with Claude Code or similar agents makes spinning up a personal wikidata llm effortless.

Who should use this?

Obsidian power users clipping daily research for indie hacking or AI projects, researchers dumping papers and threads into a growing knowledge brain, or solo founders building moats around curated insights. It's ideal for those running local LLM agents who want Git-backed vaults with commands for ingest, query, explore, and linting to maintain high-signal second brains.

Verdict

At 19 stars and 1.0% credibility, this early-stage project has solid docs and a working quickstart but lacks tests and broad adoption—clone it if Obsidian and Claude Code fit your workflow, or wait for more polish. Strong foundation for LLM-powered wikid, worth a test run for knowledge hoarders.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.